BaselineHazardFunktion
The baseline hazard function, denoted h0(t), is a key concept in survival analysis, particularly in the Cox proportional hazards model. It represents the instantaneous risk of the event at time t when all covariates are at their reference (often zero) levels. The model expresses the individual hazard as h(t|X) = h0(t) exp(β^T X), where X is a vector of covariates and β are the log-relative risk coefficients. Thus the baseline hazard captures how the hazard evolves over time independently of covariate effects.
The baseline cumulative hazard function, H0(t) = ∫0^t h0(u) du, summarizes the total hazard accumulated up to
Applications include deriving the baseline survival function, S0(t) = exp(-H0(t)), and using it to obtain an individual